Airborne Kite Tether Force Estimation and Experimental Validation Using Analytical and Machine Learning Models for Coastal Regions

Castelino, Roystan Vijay; Kashyap, Yashwant; Kosmopoulos, Panagiotis

doi:10.3390/rs14236111

Cited by 5 publications

(4 citation statements)

References 45 publications

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“…Consideraciones de captadores solares: i) geometría fractal del arreglo captador, ii) guía de onda (fibra óptica) para disminuir pérdidas por dispersión en la atmósfera, y iii) estudio de compatibilidad de los ensayos para arreglos fotovoltaicos instalados (Sandoval-Ruiz, 2020b) y desarrollo de nuevas tecnologías. Consideraciones de arreglos eólicos π-LFSR: modelos F(f(t)!,x,y,z,t) en 5D (Cardesa et al, 2017), donde las limitaciones dimensionales se solventan por variables acotadas en campos finitos GF (del inglés Galois Fields), así como la aplicación de técnicas de control adaptativo (Dief et al, 2020), configuración de topología (Castelino et al, 2022) y trayectoria del arreglo de cometas captadoras (Schutter et al, 2023). Diseño de cascada de fotones, aplicando tecnología de receptores de caídas de partículas (Mills et al, 2020), basado en un arreglo de cometas de redireccionamiento de radiación solar, sobre un área de barrido en distribución Fibonacci, seguimiento y concentración solar, como un lente de difracción holográfico, con selectividad de longitud de onda, parámetros ópticos, control de trayectoria, índice de difracción.…”

Section: Tecnologíaunclassified

xyz Modelo de Optimización de Arreglos de Cometas Captadoras de Energías Sostenibles

Sandoval-Ruiz

2024

Rev. Téc. Ing. Univ. Zulia.

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Esta investigación plantea una actualización del modelo de captación de energía eólica, ya que actualmente no se considera la compensación de efectos ambientales, siendo requerido para la configuración de un arreglo inteligente de cometas eólicas. El objetivo fue definir un término de realimentación de flujo difractado, analizando su aporte en la optimización de eficiencia. El método se basó en la correspondencia entre un operador matemático y los elementos físicos del sistema. Se interpretó el concepto de filtro adaptativo con arquitectura LFSR configurable (del inglés Linear Feedback Shift Register), para el procesamiento de bloques discretos de energía, en un combinador xyz lineal de flujo de viento, a través de colectores flexibles y realimentación de flujo modulado. Como resultados de las pruebas del modelo en VHDL (del inglés Very High Speed Integrates Circuit Hardware Description Language) se obtuvieron los coeficientes óptimos para la convergencia de la señal de salida, con respecto a la referencia. Entre los principales aportes se encuentra la simplificación por etapas, reportando una mejora en la eficiencia del 11,08 %; lo que permite concluir que el término adaptativo propuesto representa una herramienta para avanzar en el concepto de sistemas configurables basados en modelos, para el desarrollo de nuevas tecnologías, máxima eficiencia, mínimo costo energético y mínimo impacto ambiental.

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Section: Tecnologíaunclassified

xyz Modelo de Optimización de Arreglos de Cometas Captadoras de Energías Sostenibles

Sandoval-Ruiz

2024

Rev. Téc. Ing. Univ. Zulia.

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“…The angle between the kite and the direction of the wind is denoted by β, and it is determined as the absolute value |χ − ψ| [50]. χ represents the angle between the wind direction vector and the eastward direction vector, while ψ represents the angle between the kite and the eastward direction vector.…”

Section: Field Test Wind Data Analysismentioning

confidence: 99%

Laboratory-Scale Airborne Wind Energy Conversion Emulator Using OPAL-RT Real-Time Simulator

Kumar,

Kashyap,

Castelino

et al. 2023

Energies

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Airborne wind energy systems (AWES) are more efficient than traditional wind turbines because they can capture higher wind speeds at higher altitudes using connected kite generators. Securing a real wind turbine or a site with favorable wind conditions is not always an assured opportunity for conducting research. Hence, the Research and Development of the Laboratory Scale Airborne Wind Energy Conversion System (LAWECS) require a better understanding of airborne wind turbine dynamics and emulation. Therefore, an airborne wind turbine emulation system was designed, implemented, simulated, and experimentally tested with ground data for the real time simulation. The speed and torque of a permanent magnet synchronous motor (PMSM) connected to a kite are regulated to maximize wind energy harvesting. A field-oriented control technique is then used to control the PMSM’s torque, while a three-phase power inverter is utilized to drive the PMSM with PI controllers in a closed loop. The proposed framework was tested, and the emulated airborne wind energy conversion system results were proven experimentally for different wind speeds and generator loads. Further, the LAWECS emulator simulated a 2 kW, 20 kW, and 60 kW designed with a projected kite area of 5, 25, and 70 square meters, respectively. This system was simulated using the Matlab/Simulink software and tested with the experimental data. Furthermore, the evaluation of the proposed framework is validated using a real-time hardware-in-the-loop environment, which uses the FPGA-based OPAL-RT Simulator.

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“…where β is the angle made by the kite with respect to the wind direction vector and is calculated as |χ − ψ| [42]. The χ is the angle made by the wind direction vector with respect to the east-direction vector and ψ is the angle made by the kite with respect to the east-direction vector.…”

Section: Field Test Data Analysismentioning

confidence: 99%

“…Figure 15. Polar plot of kite flight path test: (a) yaw vs. force; (b) roll vs. force; (c) pitch vs. force.Adopted from[42].…”

mentioning

confidence: 99%

Exploring the Potential of Kite-Based Wind Power Generation: An Emulation-Based Approach

et al. 2023

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A Kite-based Airborne Wind Energy Conversion System (KAWECS) works by harnessing the kinetic energy from the wind and converting it into electric power. The study of the dynamics of KAWECS is fundamental in researching and developing a commercial-scale KAWECS. Testing an actual KAWECS in a location with suitable wind conditions is only sometimes a trusted method for conducting research. A KAWECS emulator was developed based on a Permanent Magnet Synchronous Machine (PMSM) drive coupled with a generator to mimic the kite’s behaviour in wind conditions. Using MATLAB-SIMULINK, three different power ratings of 1 kW, 10 kW, and 100 kW systems were designed with a kite surface area of 2.5 m2, 14 m2, and 60 m2, respectively. The reel-out speed of the tether, tether force, traction power, drum speed, and drum torque were analysed for a wind speed range of 2 m/s to 12.25 m/s. The satellite wind speed data at 10 m and 50 m above ground with field data of the kite’s figure-of-eight trajectories were used to emulate the kite’s characteristics. The results of this study will promote the use of KAWECS, which can provide reliable and seamless energy flow, enriching wind energy exploitation under various installation environments.

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Airborne Kite Tether Force Estimation and Experimental Validation Using Analytical and Machine Learning Models for Coastal Regions

Cited by 5 publications

References 45 publications

xyz Modelo de Optimización de Arreglos de Cometas Captadoras de Energías Sostenibles

xyz Modelo de Optimización de Arreglos de Cometas Captadoras de Energías Sostenibles

Laboratory-Scale Airborne Wind Energy Conversion Emulator Using OPAL-RT Real-Time Simulator

Exploring the Potential of Kite-Based Wind Power Generation: An Emulation-Based Approach

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